Image Compression Based on DWT Using EZW/SPIHT Encoders

Authors

  • Alsoussia, M. Omar Al-Mukhtar University
  • Khalifa, M. College of Electronic Technology Bani Walid
  • Dabboub, A. College of Computer Technology Zawia

DOI:

https://doi.org/10.36602/ijeit.v12i1.470

Keywords:

Image Compression, EZW, SPIHT, DWT, Wavelet Transform, Compression Ratio, PNSR

Abstract

this paper reviews recent research on image compression techniques utilizing the Embedded Zero-Tree Wavelet (EZW) and Set Partitioning in Hierarchical Trees (SPIHT) algorithms. The study addresses the question of which algorithm, EZW or SPIHT, provides superior compression performance for various image types. The research method involves a comprehensive analysis of published research papers that employed these algorithms for image compression. The findings indicate that SPIHT generally outperforms EZW in terms of compression ratio, computational efficiency, and image quality, making it a more versatile and effective choice for various image compression applications.

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Published

2024-08-11

How to Cite

Image Compression Based on DWT Using EZW/SPIHT Encoders. (2024). The International Journal of Engineering & Information Technology (IJEIT), 12(1), 1-6. https://doi.org/10.36602/ijeit.v12i1.470

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